CSshihao commited on
Commit
b5dc472
·
verified ·
1 Parent(s): 2fa1df0

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
added_tokens.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "<|endoftext|>": 151643,
3
+ "<|im_end|>": 151645,
4
+ "<|im_start|>": 151644
5
+ }
config.json ADDED
@@ -0,0 +1,360 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "lmms-lab/llava-onevision-qwen2-7b-ov/",
3
+ "architectures": [
4
+ "LlavaQwenForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151645,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 3584,
11
+ "ignore_index": -100,
12
+ "image_aspect_ratio": "randomroi",
13
+ "image_crop_resolution": null,
14
+ "image_grid_pinpoints": [
15
+ [
16
+ 384,
17
+ 384
18
+ ],
19
+ [
20
+ 384,
21
+ 768
22
+ ],
23
+ [
24
+ 384,
25
+ 1152
26
+ ],
27
+ [
28
+ 384,
29
+ 1536
30
+ ],
31
+ [
32
+ 384,
33
+ 1920
34
+ ],
35
+ [
36
+ 384,
37
+ 2304
38
+ ],
39
+ [
40
+ 768,
41
+ 384
42
+ ],
43
+ [
44
+ 768,
45
+ 768
46
+ ],
47
+ [
48
+ 768,
49
+ 1152
50
+ ],
51
+ [
52
+ 768,
53
+ 1536
54
+ ],
55
+ [
56
+ 768,
57
+ 1920
58
+ ],
59
+ [
60
+ 768,
61
+ 2304
62
+ ],
63
+ [
64
+ 1152,
65
+ 384
66
+ ],
67
+ [
68
+ 1152,
69
+ 768
70
+ ],
71
+ [
72
+ 1152,
73
+ 1152
74
+ ],
75
+ [
76
+ 1152,
77
+ 1536
78
+ ],
79
+ [
80
+ 1152,
81
+ 1920
82
+ ],
83
+ [
84
+ 1152,
85
+ 2304
86
+ ],
87
+ [
88
+ 1536,
89
+ 384
90
+ ],
91
+ [
92
+ 1536,
93
+ 768
94
+ ],
95
+ [
96
+ 1536,
97
+ 1152
98
+ ],
99
+ [
100
+ 1536,
101
+ 1536
102
+ ],
103
+ [
104
+ 1536,
105
+ 1920
106
+ ],
107
+ [
108
+ 1536,
109
+ 2304
110
+ ],
111
+ [
112
+ 1920,
113
+ 384
114
+ ],
115
+ [
116
+ 1920,
117
+ 768
118
+ ],
119
+ [
120
+ 1920,
121
+ 1152
122
+ ],
123
+ [
124
+ 1920,
125
+ 1536
126
+ ],
127
+ [
128
+ 1920,
129
+ 1920
130
+ ],
131
+ [
132
+ 1920,
133
+ 2304
134
+ ],
135
+ [
136
+ 2304,
137
+ 384
138
+ ],
139
+ [
140
+ 2304,
141
+ 768
142
+ ],
143
+ [
144
+ 2304,
145
+ 1152
146
+ ],
147
+ [
148
+ 2304,
149
+ 1536
150
+ ],
151
+ [
152
+ 2304,
153
+ 1920
154
+ ],
155
+ [
156
+ 2304,
157
+ 2304
158
+ ]
159
+ ],
160
+ "image_seq_length": 576,
161
+ "image_split_resolution": null,
162
+ "image_token_index": 151646,
163
+ "initializer_range": 0.02,
164
+ "intermediate_size": 18944,
165
+ "max_position_embeddings": 32768,
166
+ "max_window_layers": 28,
167
+ "mm_hidden_size": 1152,
168
+ "mm_newline_position": "one_token",
169
+ "mm_patch_merge_type": "spatial_avgpool_auto_unpad_add_newl",
170
+ "mm_projector_lr": null,
171
+ "mm_projector_type": "mlp2x_gelu",
172
+ "mm_resampler_type": null,
173
+ "mm_spatial_pool_mode": "bilinear",
174
+ "mm_tunable_parts": "mm_vision_tower,mm_mlp_adapter,mm_language_model",
175
+ "mm_use_im_patch_token": false,
176
+ "mm_use_im_start_end": false,
177
+ "mm_vision_select_feature": "patch",
178
+ "mm_vision_select_layer": -2,
179
+ "mm_vision_tower": "google/siglip-so400m-patch14-384",
180
+ "mm_vision_tower_lr": 2e-06,
181
+ "model_type": "llava",
182
+ "num_attention_heads": 28,
183
+ "num_hidden_layers": 28,
184
+ "num_key_value_heads": 4,
185
+ "pos_skipping_range": 4096,
186
+ "projector_hidden_act": "gelu",
187
+ "rms_norm_eps": 1e-06,
188
+ "rope_scaling": null,
189
+ "rope_theta": 1000000.0,
190
+ "sliding_window": 131072,
191
+ "text_config_bak": {
192
+ "_attn_implementation_autoset": false,
193
+ "_name_or_path": "",
194
+ "add_cross_attention": false,
195
+ "architectures": null,
196
+ "attention_bias": false,
197
+ "attention_dropout": 0.0,
198
+ "bad_words_ids": null,
199
+ "begin_suppress_tokens": null,
200
+ "bos_token_id": 1,
201
+ "chunk_size_feed_forward": 0,
202
+ "cross_attention_hidden_size": null,
203
+ "decoder_start_token_id": null,
204
+ "diversity_penalty": 0.0,
205
+ "do_sample": false,
206
+ "early_stopping": false,
207
+ "encoder_no_repeat_ngram_size": 0,
208
+ "eos_token_id": 2,
209
+ "exponential_decay_length_penalty": null,
210
+ "finetuning_task": null,
211
+ "forced_bos_token_id": null,
212
+ "forced_eos_token_id": null,
213
+ "head_dim": 128,
214
+ "hidden_act": "silu",
215
+ "hidden_size": 4096,
216
+ "id2label": {
217
+ "0": "LABEL_0",
218
+ "1": "LABEL_1"
219
+ },
220
+ "initializer_range": 0.02,
221
+ "intermediate_size": 11008,
222
+ "is_decoder": false,
223
+ "is_encoder_decoder": false,
224
+ "label2id": {
225
+ "LABEL_0": 0,
226
+ "LABEL_1": 1
227
+ },
228
+ "length_penalty": 1.0,
229
+ "max_length": 20,
230
+ "max_position_embeddings": 2048,
231
+ "min_length": 0,
232
+ "mlp_bias": false,
233
+ "model_type": "llama",
234
+ "no_repeat_ngram_size": 0,
235
+ "num_attention_heads": 32,
236
+ "num_beam_groups": 1,
237
+ "num_beams": 1,
238
+ "num_hidden_layers": 32,
239
+ "num_key_value_heads": 32,
240
+ "num_return_sequences": 1,
241
+ "output_attentions": false,
242
+ "output_hidden_states": false,
243
+ "output_scores": false,
244
+ "pad_token_id": null,
245
+ "prefix": null,
246
+ "pretraining_tp": 1,
247
+ "problem_type": null,
248
+ "pruned_heads": {},
249
+ "remove_invalid_values": false,
250
+ "repetition_penalty": 1.0,
251
+ "return_dict": true,
252
+ "return_dict_in_generate": false,
253
+ "rms_norm_eps": 1e-06,
254
+ "rope_scaling": null,
255
+ "rope_theta": 10000.0,
256
+ "sep_token_id": null,
257
+ "suppress_tokens": null,
258
+ "task_specific_params": null,
259
+ "temperature": 1.0,
260
+ "tf_legacy_loss": false,
261
+ "tie_encoder_decoder": false,
262
+ "tie_word_embeddings": false,
263
+ "tokenizer_class": null,
264
+ "top_k": 50,
265
+ "top_p": 1.0,
266
+ "torch_dtype": null,
267
+ "torchscript": false,
268
+ "typical_p": 1.0,
269
+ "use_bfloat16": false,
270
+ "use_cache": true,
271
+ "vocab_size": 32000
272
+ },
273
+ "tie_word_embeddings": false,
274
+ "tokenizer_model_max_length": 32768,
275
+ "tokenizer_padding_side": "right",
276
+ "torch_dtype": "bfloat16",
277
+ "transformers_version": "4.46.1",
278
+ "use_cache": true,
279
+ "use_mm_proj": true,
280
+ "use_pos_skipping": false,
281
+ "use_sliding_window": false,
282
+ "vision_config": {
283
+ "_attn_implementation_autoset": false,
284
+ "_name_or_path": "",
285
+ "add_cross_attention": false,
286
+ "architectures": null,
287
+ "attention_dropout": 0.0,
288
+ "bad_words_ids": null,
289
+ "begin_suppress_tokens": null,
290
+ "bos_token_id": null,
291
+ "chunk_size_feed_forward": 0,
292
+ "cross_attention_hidden_size": null,
293
+ "decoder_start_token_id": null,
294
+ "diversity_penalty": 0.0,
295
+ "do_sample": false,
296
+ "early_stopping": false,
297
+ "encoder_no_repeat_ngram_size": 0,
298
+ "eos_token_id": null,
299
+ "exponential_decay_length_penalty": null,
300
+ "finetuning_task": null,
301
+ "forced_bos_token_id": null,
302
+ "forced_eos_token_id": null,
303
+ "hidden_act": "gelu_pytorch_tanh",
304
+ "hidden_size": 1152,
305
+ "id2label": {
306
+ "0": "LABEL_0",
307
+ "1": "LABEL_1"
308
+ },
309
+ "image_size": 384,
310
+ "intermediate_size": 4304,
311
+ "is_decoder": false,
312
+ "is_encoder_decoder": false,
313
+ "label2id": {
314
+ "LABEL_0": 0,
315
+ "LABEL_1": 1
316
+ },
317
+ "layer_norm_eps": 1e-06,
318
+ "length_penalty": 1.0,
319
+ "max_length": 20,
320
+ "min_length": 0,
321
+ "model_type": "siglip_vision_model",
322
+ "no_repeat_ngram_size": 0,
323
+ "num_attention_heads": 16,
324
+ "num_beam_groups": 1,
325
+ "num_beams": 1,
326
+ "num_channels": 3,
327
+ "num_hidden_layers": 27,
328
+ "num_return_sequences": 1,
329
+ "output_attentions": false,
330
+ "output_hidden_states": false,
331
+ "output_scores": false,
332
+ "pad_token_id": null,
333
+ "patch_size": 14,
334
+ "prefix": null,
335
+ "problem_type": null,
336
+ "pruned_heads": {},
337
+ "remove_invalid_values": false,
338
+ "repetition_penalty": 1.0,
339
+ "return_dict": true,
340
+ "return_dict_in_generate": false,
341
+ "sep_token_id": null,
342
+ "suppress_tokens": null,
343
+ "task_specific_params": null,
344
+ "temperature": 1.0,
345
+ "tf_legacy_loss": false,
346
+ "tie_encoder_decoder": false,
347
+ "tie_word_embeddings": true,
348
+ "tokenizer_class": null,
349
+ "top_k": 50,
350
+ "top_p": 1.0,
351
+ "torch_dtype": null,
352
+ "torchscript": false,
353
+ "typical_p": 1.0,
354
+ "use_bfloat16": false
355
+ },
356
+ "vision_feature_layer": -2,
357
+ "vision_feature_select_strategy": "default",
358
+ "vision_tower_pretrained": null,
359
+ "vocab_size": 152064
360
+ }
generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "repetition_penalty": 1.05,
10
+ "temperature": 0.7,
11
+ "top_k": 20,
12
+ "top_p": 0.8,
13
+ "transformers_version": "4.46.1"
14
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0bca407405d1efed484d813111b07fb5e55298577f793ffc5113e1a6dea21873
3
+ size 4877668032
model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:35f582d07851e87c137f6f44a6c6a2118fff773b2d67b26369aab6b3557cb798
3
+ size 4932751008
model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d096da74a8a7b215163f95f5db1cc2b26b9e79963a8e81f0da0cae374360c174
3
+ size 4994571904
model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b38517ab4c057f31d207b0cc109eadd1df32b2d5f9c51b848d52f78f77f68f05
3
+ size 1255812224
model.safetensors.index.json ADDED
@@ -0,0 +1,772 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 16060697664
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00004-of-00004.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
8
+ "model.image_newline": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
17
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
18
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
19
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
20
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
26
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
27
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
28
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
29
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
30
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
31
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
32
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
33
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
34
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
35
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
38
+ "model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
39
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
41
+ "model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
42
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
43
+ "model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
44
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
50
+ "model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
51
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
53
+ "model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
54
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
55
+ "model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
56
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
62
+ "model.layers.12.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
63
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
65
+ "model.layers.12.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
66
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
67
+ "model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
68
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
74
+ "model.layers.13.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
75
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
77
+ "model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
78
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
79
+ "model.layers.13.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
80
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
86
+ "model.layers.14.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
87
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
89
+ "model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
90
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
91
+ "model.layers.14.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
92
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
98
+ "model.layers.15.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
99
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
101
+ "model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
102
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
103
+ "model.layers.15.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
104
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
105
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
106
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
107
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
108
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
109
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
110
+ "model.layers.16.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
111
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
112
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
113
+ "model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
114
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
115
+ "model.layers.16.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
116
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
117
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
118
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
119
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
120
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
121
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
122
+ "model.layers.17.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
123
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
124
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
125
+ "model.layers.17.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
126
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
127
+ "model.layers.17.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
128
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
129
+ "model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
130
+ "model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
131
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
132
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
133
+ "model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
134
+ "model.layers.18.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
135
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
136
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
137
+ "model.layers.18.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
138
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
139
+ "model.layers.18.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
140
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
141
+ "model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
142
+ "model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
143
+ "model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
144
+ "model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
145
+ "model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
146
+ "model.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
147
+ "model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
148
+ "model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
149
+ "model.layers.19.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
150
+ "model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
151
+ "model.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
152
+ "model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
153
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
154
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
155
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
156
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
157
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
158
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
159
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
160
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
161
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
162
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
163
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
164
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
165
+ "model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
166
+ "model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
167
+ "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
168
+ "model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
169
+ "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
170
+ "model.layers.20.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
171
+ "model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
172
+ "model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
173
+ "model.layers.20.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
174
+ "model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
175
+ "model.layers.20.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
176
+ "model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
179
+ "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
180
+ "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
181
+ "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
182
+ "model.layers.21.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
183
+ "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
184
+ "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
185
+ "model.layers.21.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
186
+ "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
187
+ "model.layers.21.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
188
+ "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
194
+ "model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
195
+ "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
197
+ "model.layers.22.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
198
+ "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
199
+ "model.layers.22.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
200
+ "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
206
+ "model.layers.23.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
207
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
209
+ "model.layers.23.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
210
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
211
+ "model.layers.23.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
212
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
216
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
217
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
218
+ "model.layers.24.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
219
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
220
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
221
+ "model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
222
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
223
+ "model.layers.24.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
224
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
225
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
226
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
228
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
229
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
230
+ "model.layers.25.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
231
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
233
+ "model.layers.25.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
234
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
235
+ "model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
236
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
237
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
238
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
239
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
240
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
241
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
242
+ "model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
243
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
244
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
245
+ "model.layers.26.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
246
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
247
+ "model.layers.26.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
248
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
249
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
250
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
251
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
252
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
253
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
254
+ "model.layers.27.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
255
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
256
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
257
+ "model.layers.27.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
258
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
259
+ "model.layers.27.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
260
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
261
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
262
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
263
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
264
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
265
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
266
+ "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
267
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
268
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
269
+ "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
270
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
271
+ "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
272
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
273
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
274
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
275
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
276
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
277
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
278
+ "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
279
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
280
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
281
+ "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
282
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
283
+ "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
284
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
285
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
286
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
287
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
288
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
289
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
290
+ "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
291
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
292
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
293
+ "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
294
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
295
+ "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
296
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
297
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
298
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
299
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
300
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
301
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
302
+ "model.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
303
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
304
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
305
+ "model.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
306
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
307
+ "model.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
308
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
309
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
310
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
311
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
312
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
313
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
314
+ "model.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
315
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
316
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
317
+ "model.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
318
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
319
+ "model.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
320
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
321
+ "model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
322
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
323
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
324
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
325
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
326
+ "model.layers.8.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
327
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
328
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
329
+ "model.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
330
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
331
+ "model.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
332
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
333
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
334
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
335
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
336
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
337
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
338
+ "model.layers.9.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
339
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
340
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
341
+ "model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
342
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
343
+ "model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
344
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
345
+ "model.mm_projector.0.bias": "model-00004-of-00004.safetensors",
346
+ "model.mm_projector.0.weight": "model-00004-of-00004.safetensors",
347
+ "model.mm_projector.2.bias": "model-00004-of-00004.safetensors",
348
+ "model.mm_projector.2.weight": "model-00004-of-00004.safetensors",
349
+ "model.norm.weight": "model-00003-of-00004.safetensors",
350
+ "model.vision_tower.vision_tower.vision_model.embeddings.patch_embedding.bias": "model-00003-of-00004.safetensors",
351
+ "model.vision_tower.vision_tower.vision_model.embeddings.patch_embedding.weight": "model-00003-of-00004.safetensors",
352
+ "model.vision_tower.vision_tower.vision_model.embeddings.position_embedding.weight": "model-00003-of-00004.safetensors",
353
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.layer_norm1.bias": "model-00003-of-00004.safetensors",
354
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.layer_norm1.weight": "model-00003-of-00004.safetensors",
355
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.layer_norm2.bias": "model-00003-of-00004.safetensors",
356
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.layer_norm2.weight": "model-00003-of-00004.safetensors",
357
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.mlp.fc1.bias": "model-00003-of-00004.safetensors",
358
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.mlp.fc1.weight": "model-00003-of-00004.safetensors",
359
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.mlp.fc2.bias": "model-00003-of-00004.safetensors",
360
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.mlp.fc2.weight": "model-00003-of-00004.safetensors",
361
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
362
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
363
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.bias": "model-00003-of-00004.safetensors",
364
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.weight": "model-00003-of-00004.safetensors",
365
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
366
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
367
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
368
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
369
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.layer_norm1.bias": "model-00003-of-00004.safetensors",
370
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.layer_norm1.weight": "model-00003-of-00004.safetensors",
371
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.layer_norm2.bias": "model-00003-of-00004.safetensors",
372
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.layer_norm2.weight": "model-00003-of-00004.safetensors",
373
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.mlp.fc1.bias": "model-00003-of-00004.safetensors",
374
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.mlp.fc1.weight": "model-00003-of-00004.safetensors",
375
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.mlp.fc2.bias": "model-00003-of-00004.safetensors",
376
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.mlp.fc2.weight": "model-00003-of-00004.safetensors",
377
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
378
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
379
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.bias": "model-00003-of-00004.safetensors",
380
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.weight": "model-00003-of-00004.safetensors",
381
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
382
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
383
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
384
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
385
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.layer_norm1.bias": "model-00003-of-00004.safetensors",
386
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.layer_norm1.weight": "model-00003-of-00004.safetensors",
387
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.layer_norm2.bias": "model-00003-of-00004.safetensors",
388
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.layer_norm2.weight": "model-00003-of-00004.safetensors",
389
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.mlp.fc1.bias": "model-00003-of-00004.safetensors",
390
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.mlp.fc1.weight": "model-00003-of-00004.safetensors",
391
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.mlp.fc2.bias": "model-00003-of-00004.safetensors",
392
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.mlp.fc2.weight": "model-00003-of-00004.safetensors",
393
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
394
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
395
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.bias": "model-00003-of-00004.safetensors",
396
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.weight": "model-00003-of-00004.safetensors",
397
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
398
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
399
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
400
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
401
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.layer_norm1.bias": "model-00003-of-00004.safetensors",
402
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.layer_norm1.weight": "model-00003-of-00004.safetensors",
403
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.layer_norm2.bias": "model-00003-of-00004.safetensors",
404
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.layer_norm2.weight": "model-00003-of-00004.safetensors",
405
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.mlp.fc1.bias": "model-00003-of-00004.safetensors",
406
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.mlp.fc1.weight": "model-00003-of-00004.safetensors",
407
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.mlp.fc2.bias": "model-00003-of-00004.safetensors",
408
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.mlp.fc2.weight": "model-00003-of-00004.safetensors",
409
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
410
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
411
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.bias": "model-00003-of-00004.safetensors",
412
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.weight": "model-00003-of-00004.safetensors",
413
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
414
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
415
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
416
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
417
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.layer_norm1.bias": "model-00003-of-00004.safetensors",
418
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.layer_norm1.weight": "model-00003-of-00004.safetensors",
419
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.layer_norm2.bias": "model-00003-of-00004.safetensors",
420
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.layer_norm2.weight": "model-00003-of-00004.safetensors",
421
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.mlp.fc1.bias": "model-00003-of-00004.safetensors",
422
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.mlp.fc1.weight": "model-00003-of-00004.safetensors",
423
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.mlp.fc2.bias": "model-00003-of-00004.safetensors",
424
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.mlp.fc2.weight": "model-00003-of-00004.safetensors",
425
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
426
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
427
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.bias": "model-00003-of-00004.safetensors",
428
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.weight": "model-00003-of-00004.safetensors",
429
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
430
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
431
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
432
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
433
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.layer_norm1.bias": "model-00003-of-00004.safetensors",
434
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.layer_norm1.weight": "model-00003-of-00004.safetensors",
435
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.layer_norm2.bias": "model-00003-of-00004.safetensors",
436
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.layer_norm2.weight": "model-00003-of-00004.safetensors",
437
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.mlp.fc1.bias": "model-00003-of-00004.safetensors",
438
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.mlp.fc1.weight": "model-00003-of-00004.safetensors",
439
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.mlp.fc2.bias": "model-00003-of-00004.safetensors",
440
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.mlp.fc2.weight": "model-00003-of-00004.safetensors",
441
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
442
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
443
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.bias": "model-00003-of-00004.safetensors",
444
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.weight": "model-00003-of-00004.safetensors",
445
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
446
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
447
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
448
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
449
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.layer_norm1.bias": "model-00003-of-00004.safetensors",
450
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.layer_norm1.weight": "model-00003-of-00004.safetensors",
451
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.layer_norm2.bias": "model-00003-of-00004.safetensors",
452
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.layer_norm2.weight": "model-00003-of-00004.safetensors",
453
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.mlp.fc1.bias": "model-00003-of-00004.safetensors",
454
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.mlp.fc1.weight": "model-00003-of-00004.safetensors",
455
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.mlp.fc2.bias": "model-00003-of-00004.safetensors",
456
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.mlp.fc2.weight": "model-00003-of-00004.safetensors",
457
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
458
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
459
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.bias": "model-00003-of-00004.safetensors",
460
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.weight": "model-00003-of-00004.safetensors",
461
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
462
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
463
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
464
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
465
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.layer_norm1.bias": "model-00003-of-00004.safetensors",
466
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.layer_norm1.weight": "model-00003-of-00004.safetensors",
467
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.layer_norm2.bias": "model-00003-of-00004.safetensors",
468
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.layer_norm2.weight": "model-00003-of-00004.safetensors",
469
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.mlp.fc1.bias": "model-00003-of-00004.safetensors",
470
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.mlp.fc1.weight": "model-00003-of-00004.safetensors",
471
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.mlp.fc2.bias": "model-00003-of-00004.safetensors",
472
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.mlp.fc2.weight": "model-00003-of-00004.safetensors",
473
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
474
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
475
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.bias": "model-00003-of-00004.safetensors",
476
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.weight": "model-00003-of-00004.safetensors",
477
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
478
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
479
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
480
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
481
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.layer_norm1.bias": "model-00003-of-00004.safetensors",
482
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.layer_norm1.weight": "model-00003-of-00004.safetensors",
483
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.layer_norm2.bias": "model-00003-of-00004.safetensors",
484
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.layer_norm2.weight": "model-00003-of-00004.safetensors",
485
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.mlp.fc1.bias": "model-00003-of-00004.safetensors",
486
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.mlp.fc1.weight": "model-00003-of-00004.safetensors",
487
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.mlp.fc2.bias": "model-00003-of-00004.safetensors",
488
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.mlp.fc2.weight": "model-00003-of-00004.safetensors",
489
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
490
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
491
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.bias": "model-00003-of-00004.safetensors",
492
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.weight": "model-00003-of-00004.safetensors",
493
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
494
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
495
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
496
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
497
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.layer_norm1.bias": "model-00003-of-00004.safetensors",
498
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.layer_norm1.weight": "model-00003-of-00004.safetensors",
499
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.layer_norm2.bias": "model-00003-of-00004.safetensors",
500
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.layer_norm2.weight": "model-00003-of-00004.safetensors",
501
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.mlp.fc1.bias": "model-00003-of-00004.safetensors",
502
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.mlp.fc1.weight": "model-00003-of-00004.safetensors",
503
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.mlp.fc2.bias": "model-00003-of-00004.safetensors",
504
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.mlp.fc2.weight": "model-00003-of-00004.safetensors",
505
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
506
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
507
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.bias": "model-00003-of-00004.safetensors",
508
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.weight": "model-00003-of-00004.safetensors",
509
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
510
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
511
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
512
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
513
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.layer_norm1.bias": "model-00003-of-00004.safetensors",
514
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.layer_norm1.weight": "model-00003-of-00004.safetensors",
515
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.layer_norm2.bias": "model-00003-of-00004.safetensors",
516
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.layer_norm2.weight": "model-00003-of-00004.safetensors",
517
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.mlp.fc1.bias": "model-00003-of-00004.safetensors",
518
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.mlp.fc1.weight": "model-00003-of-00004.safetensors",
519
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.mlp.fc2.bias": "model-00003-of-00004.safetensors",
520
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.mlp.fc2.weight": "model-00003-of-00004.safetensors",
521
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
522
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
523
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.bias": "model-00003-of-00004.safetensors",
524
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.weight": "model-00003-of-00004.safetensors",
525
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
526
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
527
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
528
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
529
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.layer_norm1.bias": "model-00003-of-00004.safetensors",
530
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.layer_norm1.weight": "model-00003-of-00004.safetensors",
531
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.layer_norm2.bias": "model-00003-of-00004.safetensors",
532
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.layer_norm2.weight": "model-00003-of-00004.safetensors",
533
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.mlp.fc1.bias": "model-00003-of-00004.safetensors",
534
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.mlp.fc1.weight": "model-00003-of-00004.safetensors",
535
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.mlp.fc2.bias": "model-00003-of-00004.safetensors",
536
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.mlp.fc2.weight": "model-00003-of-00004.safetensors",
537
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
538
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
539
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.bias": "model-00003-of-00004.safetensors",
540
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.weight": "model-00003-of-00004.safetensors",
541
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
542
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
543
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
544
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
545
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.layer_norm1.bias": "model-00003-of-00004.safetensors",
546
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.layer_norm1.weight": "model-00003-of-00004.safetensors",
547
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.layer_norm2.bias": "model-00003-of-00004.safetensors",
548
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.layer_norm2.weight": "model-00003-of-00004.safetensors",
549
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.mlp.fc1.bias": "model-00003-of-00004.safetensors",
550
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.mlp.fc1.weight": "model-00003-of-00004.safetensors",
551
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.mlp.fc2.bias": "model-00003-of-00004.safetensors",
552
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.mlp.fc2.weight": "model-00003-of-00004.safetensors",
553
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
554
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
555
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.bias": "model-00003-of-00004.safetensors",
556
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.weight": "model-00003-of-00004.safetensors",
557
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
558
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
559
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
560
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
561
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.layer_norm1.bias": "model-00003-of-00004.safetensors",
562
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.layer_norm1.weight": "model-00003-of-00004.safetensors",
563
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.layer_norm2.bias": "model-00003-of-00004.safetensors",
564
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.layer_norm2.weight": "model-00003-of-00004.safetensors",
565
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.mlp.fc1.bias": "model-00003-of-00004.safetensors",
566
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.mlp.fc1.weight": "model-00003-of-00004.safetensors",
567
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.mlp.fc2.bias": "model-00003-of-00004.safetensors",
568
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.mlp.fc2.weight": "model-00003-of-00004.safetensors",
569
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
570
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
571
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.bias": "model-00003-of-00004.safetensors",
572
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.weight": "model-00003-of-00004.safetensors",
573
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
574
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
575
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
576
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
577
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.layer_norm1.bias": "model-00003-of-00004.safetensors",
578
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.layer_norm1.weight": "model-00003-of-00004.safetensors",
579
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.layer_norm2.bias": "model-00004-of-00004.safetensors",
580
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.layer_norm2.weight": "model-00004-of-00004.safetensors",
581
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.mlp.fc1.bias": "model-00003-of-00004.safetensors",
582
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.mlp.fc1.weight": "model-00003-of-00004.safetensors",
583
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.mlp.fc2.bias": "model-00004-of-00004.safetensors",
584
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.mlp.fc2.weight": "model-00004-of-00004.safetensors",
585
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
586
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
587
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.bias": "model-00003-of-00004.safetensors",
588
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.weight": "model-00003-of-00004.safetensors",
589
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
590
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
591
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
592
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
593
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.layer_norm1.bias": "model-00004-of-00004.safetensors",
594
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.layer_norm1.weight": "model-00004-of-00004.safetensors",
595
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.layer_norm2.bias": "model-00004-of-00004.safetensors",
596
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.layer_norm2.weight": "model-00004-of-00004.safetensors",
597
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.mlp.fc1.bias": "model-00004-of-00004.safetensors",
598
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.mlp.fc1.weight": "model-00004-of-00004.safetensors",
599
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.mlp.fc2.bias": "model-00004-of-00004.safetensors",
600
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.mlp.fc2.weight": "model-00004-of-00004.safetensors",
601
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
602
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
603
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
604
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
605
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
606
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
607
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
608
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
609
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.layer_norm1.bias": "model-00004-of-00004.safetensors",
610
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.layer_norm1.weight": "model-00004-of-00004.safetensors",
611
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.layer_norm2.bias": "model-00004-of-00004.safetensors",
612
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.layer_norm2.weight": "model-00004-of-00004.safetensors",
613
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.mlp.fc1.bias": "model-00004-of-00004.safetensors",
614
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.mlp.fc1.weight": "model-00004-of-00004.safetensors",
615
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.mlp.fc2.bias": "model-00004-of-00004.safetensors",
616
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.mlp.fc2.weight": "model-00004-of-00004.safetensors",
617
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
618
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
619
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
620
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
621
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
622
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
623
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
624
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
625
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.layer_norm1.bias": "model-00004-of-00004.safetensors",
626
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.layer_norm1.weight": "model-00004-of-00004.safetensors",
627
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.layer_norm2.bias": "model-00004-of-00004.safetensors",
628
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.layer_norm2.weight": "model-00004-of-00004.safetensors",
629
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.mlp.fc1.bias": "model-00004-of-00004.safetensors",
630
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.mlp.fc1.weight": "model-00004-of-00004.safetensors",
631
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.mlp.fc2.bias": "model-00004-of-00004.safetensors",
632
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.mlp.fc2.weight": "model-00004-of-00004.safetensors",
633
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
634
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
635
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
636
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
637
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
638
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
639
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
640
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
641
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.layer_norm1.bias": "model-00004-of-00004.safetensors",
642
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.layer_norm1.weight": "model-00004-of-00004.safetensors",
643
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.layer_norm2.bias": "model-00004-of-00004.safetensors",
644
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.layer_norm2.weight": "model-00004-of-00004.safetensors",
645
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.mlp.fc1.bias": "model-00004-of-00004.safetensors",
646
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.mlp.fc1.weight": "model-00004-of-00004.safetensors",
647
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.mlp.fc2.bias": "model-00004-of-00004.safetensors",
648
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.mlp.fc2.weight": "model-00004-of-00004.safetensors",
649
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
650
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
651
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
652
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
653
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
654
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
655
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
656
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
657
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.layer_norm1.bias": "model-00003-of-00004.safetensors",
658
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.layer_norm1.weight": "model-00003-of-00004.safetensors",
659
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.layer_norm2.bias": "model-00003-of-00004.safetensors",
660
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.layer_norm2.weight": "model-00003-of-00004.safetensors",
661
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.mlp.fc1.bias": "model-00003-of-00004.safetensors",
662
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.mlp.fc1.weight": "model-00003-of-00004.safetensors",
663
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.mlp.fc2.bias": "model-00003-of-00004.safetensors",
664
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.mlp.fc2.weight": "model-00003-of-00004.safetensors",
665
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
666
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
667
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.bias": "model-00003-of-00004.safetensors",
668
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.weight": "model-00003-of-00004.safetensors",
669
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
670
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
671
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
672
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
673
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.layer_norm1.bias": "model-00003-of-00004.safetensors",
674
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.layer_norm1.weight": "model-00003-of-00004.safetensors",
675
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.layer_norm2.bias": "model-00003-of-00004.safetensors",
676
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.layer_norm2.weight": "model-00003-of-00004.safetensors",
677
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.mlp.fc1.bias": "model-00003-of-00004.safetensors",
678
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.mlp.fc1.weight": "model-00003-of-00004.safetensors",
679
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.mlp.fc2.bias": "model-00003-of-00004.safetensors",
680
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.mlp.fc2.weight": "model-00003-of-00004.safetensors",
681
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
682
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
683
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.bias": "model-00003-of-00004.safetensors",
684
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.weight": "model-00003-of-00004.safetensors",
685
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
686
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
687
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
688
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
689
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.layer_norm1.bias": "model-00003-of-00004.safetensors",
690
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.layer_norm1.weight": "model-00003-of-00004.safetensors",
691
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.layer_norm2.bias": "model-00003-of-00004.safetensors",
692
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.layer_norm2.weight": "model-00003-of-00004.safetensors",
693
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.mlp.fc1.bias": "model-00003-of-00004.safetensors",
694
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.mlp.fc1.weight": "model-00003-of-00004.safetensors",
695
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.mlp.fc2.bias": "model-00003-of-00004.safetensors",
696
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.mlp.fc2.weight": "model-00003-of-00004.safetensors",
697
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
698
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
699
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.bias": "model-00003-of-00004.safetensors",
700
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.weight": "model-00003-of-00004.safetensors",
701
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
702
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
703
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
704
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
705
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.layer_norm1.bias": "model-00003-of-00004.safetensors",
706
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.layer_norm1.weight": "model-00003-of-00004.safetensors",
707
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.layer_norm2.bias": "model-00003-of-00004.safetensors",
708
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.layer_norm2.weight": "model-00003-of-00004.safetensors",
709
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.mlp.fc1.bias": "model-00003-of-00004.safetensors",
710
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.mlp.fc1.weight": "model-00003-of-00004.safetensors",
711
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.mlp.fc2.bias": "model-00003-of-00004.safetensors",
712
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.mlp.fc2.weight": "model-00003-of-00004.safetensors",
713
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
714
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
715
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.bias": "model-00003-of-00004.safetensors",
716
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.weight": "model-00003-of-00004.safetensors",
717
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
718
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
719
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
720
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
721
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.layer_norm1.bias": "model-00003-of-00004.safetensors",
722
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.layer_norm1.weight": "model-00003-of-00004.safetensors",
723
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.layer_norm2.bias": "model-00003-of-00004.safetensors",
724
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.layer_norm2.weight": "model-00003-of-00004.safetensors",
725
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.mlp.fc1.bias": "model-00003-of-00004.safetensors",
726
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.mlp.fc1.weight": "model-00003-of-00004.safetensors",
727
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.mlp.fc2.bias": "model-00003-of-00004.safetensors",
728
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.mlp.fc2.weight": "model-00003-of-00004.safetensors",
729
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
730
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
731
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.bias": "model-00003-of-00004.safetensors",
732
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.weight": "model-00003-of-00004.safetensors",
733
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
734
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
735
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
736
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
737
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.layer_norm1.bias": "model-00003-of-00004.safetensors",
738
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.layer_norm1.weight": "model-00003-of-00004.safetensors",
739
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.layer_norm2.bias": "model-00003-of-00004.safetensors",
740
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.layer_norm2.weight": "model-00003-of-00004.safetensors",
741
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.mlp.fc1.bias": "model-00003-of-00004.safetensors",
742
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.mlp.fc1.weight": "model-00003-of-00004.safetensors",
743
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.mlp.fc2.bias": "model-00003-of-00004.safetensors",
744
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.mlp.fc2.weight": "model-00003-of-00004.safetensors",
745
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
746
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
747
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.bias": "model-00003-of-00004.safetensors",
748
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.weight": "model-00003-of-00004.safetensors",
749
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
750
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
751
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
752
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
753
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.layer_norm1.bias": "model-00003-of-00004.safetensors",
754
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.layer_norm1.weight": "model-00003-of-00004.safetensors",
755
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.layer_norm2.bias": "model-00003-of-00004.safetensors",
756
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.layer_norm2.weight": "model-00003-of-00004.safetensors",
757
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.mlp.fc1.bias": "model-00003-of-00004.safetensors",
758
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.mlp.fc1.weight": "model-00003-of-00004.safetensors",
759
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.mlp.fc2.bias": "model-00003-of-00004.safetensors",
760
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.mlp.fc2.weight": "model-00003-of-00004.safetensors",
761
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
762
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
763
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.bias": "model-00003-of-00004.safetensors",
764
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.weight": "model-00003-of-00004.safetensors",
765
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
766
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
767
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
768
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
769
+ "model.vision_tower.vision_tower.vision_model.post_layernorm.bias": "model-00004-of-00004.safetensors",
770
+ "model.vision_tower.vision_tower.vision_model.post_layernorm.weight": "model-00004-of-00004.safetensors"
771
+ }
772
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>"
5
+ ],
6
+ "eos_token": {
7
+ "content": "<|im_end|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "pad_token": {
14
+ "content": "<|endoftext|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ }
20
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bcfe42da0a4497e8b2b172c1f9f4ec423a46dc12907f4349c55025f670422ba9
3
+ size 11418266
tokenizer_config.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "151643": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "151644": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "151645": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ }
28
+ },
29
+ "additional_special_tokens": [
30
+ "<|im_start|>",
31
+ "<|im_end|>"
32
+ ],
33
+ "bos_token": null,
34
+ "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
35
+ "clean_up_tokenization_spaces": false,
36
+ "eos_token": "<|im_end|>",
37
+ "errors": "replace",
38
+ "model_max_length": 32768,
39
+ "pad_token": "<|endoftext|>",
40
+ "padding_side": "right",
41
+ "split_special_tokens": false,
42
+ "tokenizer_class": "Qwen2Tokenizer",
43
+ "unk_token": null
44
+ }
trainer_state.json ADDED
@@ -0,0 +1,1666 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.9958417169684776,
5
+ "eval_steps": 500,
6
+ "global_step": 232,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.004292421193829644,
13
+ "grad_norm": 3.342827936598552,
14
+ "learning_rate": 1.4285714285714286e-06,
15
+ "loss": 0.679,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.008584842387659289,
20
+ "grad_norm": 2.896501931914046,
21
+ "learning_rate": 2.8571428571428573e-06,
22
+ "loss": 0.6709,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.012877263581488933,
27
+ "grad_norm": 3.3718581451101177,
28
+ "learning_rate": 4.2857142857142855e-06,
29
+ "loss": 0.6619,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.017169684775318578,
34
+ "grad_norm": 2.529609856453942,
35
+ "learning_rate": 5.7142857142857145e-06,
36
+ "loss": 0.7753,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.021462105969148222,
41
+ "grad_norm": 2.4044812444703103,
42
+ "learning_rate": 7.1428571428571436e-06,
43
+ "loss": 0.7833,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.025754527162977867,
48
+ "grad_norm": 2.152377713157304,
49
+ "learning_rate": 8.571428571428571e-06,
50
+ "loss": 0.7411,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.03004694835680751,
55
+ "grad_norm": 7.163921239673759,
56
+ "learning_rate": 1e-05,
57
+ "loss": 0.6751,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.034339369550637155,
62
+ "grad_norm": 1.9811371567636475,
63
+ "learning_rate": 9.999512620046523e-06,
64
+ "loss": 0.6019,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.0386317907444668,
69
+ "grad_norm": 2.2991427332066663,
70
+ "learning_rate": 9.998050575201772e-06,
71
+ "loss": 0.6195,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.042924211938296444,
76
+ "grad_norm": 2.633277122254043,
77
+ "learning_rate": 9.995614150494293e-06,
78
+ "loss": 0.6773,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.04721663313212609,
83
+ "grad_norm": 0.8137858553380385,
84
+ "learning_rate": 9.992203820909906e-06,
85
+ "loss": 0.44,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.05150905432595573,
90
+ "grad_norm": 2.5789476047477495,
91
+ "learning_rate": 9.987820251299121e-06,
92
+ "loss": 0.6856,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.05580147551978538,
97
+ "grad_norm": 2.325022123665024,
98
+ "learning_rate": 9.982464296247523e-06,
99
+ "loss": 0.6573,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.06009389671361502,
104
+ "grad_norm": 2.1016133484431814,
105
+ "learning_rate": 9.976136999909156e-06,
106
+ "loss": 0.5795,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.06438631790744467,
111
+ "grad_norm": 2.203575792232459,
112
+ "learning_rate": 9.968839595802982e-06,
113
+ "loss": 0.5512,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.06867873910127431,
118
+ "grad_norm": 1.7649770138174061,
119
+ "learning_rate": 9.960573506572391e-06,
120
+ "loss": 0.5991,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.07297116029510396,
125
+ "grad_norm": 2.125017710581645,
126
+ "learning_rate": 9.951340343707852e-06,
127
+ "loss": 0.6961,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.0772635814889336,
132
+ "grad_norm": 1.9648109979705357,
133
+ "learning_rate": 9.941141907232766e-06,
134
+ "loss": 0.6274,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.08155600268276325,
139
+ "grad_norm": 2.1430042253940997,
140
+ "learning_rate": 9.929980185352525e-06,
141
+ "loss": 0.5933,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.08584842387659289,
146
+ "grad_norm": 2.187065629596637,
147
+ "learning_rate": 9.91785735406693e-06,
148
+ "loss": 0.6537,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.09014084507042254,
153
+ "grad_norm": 2.0411377847693366,
154
+ "learning_rate": 9.904775776745959e-06,
155
+ "loss": 0.5277,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.09443326626425218,
160
+ "grad_norm": 1.9222476925913479,
161
+ "learning_rate": 9.890738003669029e-06,
162
+ "loss": 0.6009,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.09872568745808183,
167
+ "grad_norm": 2.202338617043183,
168
+ "learning_rate": 9.875746771527817e-06,
169
+ "loss": 0.6808,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.10301810865191147,
174
+ "grad_norm": 1.8704298128204246,
175
+ "learning_rate": 9.859805002892733e-06,
176
+ "loss": 0.5834,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.10731052984574112,
181
+ "grad_norm": 2.26606517803316,
182
+ "learning_rate": 9.842915805643156e-06,
183
+ "loss": 0.6416,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.11160295103957076,
188
+ "grad_norm": 1.957724168370316,
189
+ "learning_rate": 9.825082472361558e-06,
190
+ "loss": 0.5565,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.1158953722334004,
195
+ "grad_norm": 2.7304041309488367,
196
+ "learning_rate": 9.806308479691595e-06,
197
+ "loss": 0.6941,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.12018779342723004,
202
+ "grad_norm": 2.252924472572446,
203
+ "learning_rate": 9.786597487660336e-06,
204
+ "loss": 0.6806,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.1244802146210597,
209
+ "grad_norm": 2.208805819097276,
210
+ "learning_rate": 9.765953338964736e-06,
211
+ "loss": 0.6123,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.12877263581488935,
216
+ "grad_norm": 2.0330562196938238,
217
+ "learning_rate": 9.744380058222483e-06,
218
+ "loss": 0.5966,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.13306505700871898,
223
+ "grad_norm": 2.4286898255231533,
224
+ "learning_rate": 9.721881851187406e-06,
225
+ "loss": 0.6148,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.13735747820254862,
230
+ "grad_norm": 1.911339918779555,
231
+ "learning_rate": 9.698463103929542e-06,
232
+ "loss": 0.5662,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 0.14164989939637826,
237
+ "grad_norm": 2.0543803346952583,
238
+ "learning_rate": 9.674128381980073e-06,
239
+ "loss": 0.6602,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 0.14594232059020792,
244
+ "grad_norm": 2.086982956085146,
245
+ "learning_rate": 9.648882429441258e-06,
246
+ "loss": 0.5432,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 0.15023474178403756,
251
+ "grad_norm": 2.0901966575723474,
252
+ "learning_rate": 9.622730168061568e-06,
253
+ "loss": 0.5274,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 0.1545271629778672,
258
+ "grad_norm": 4.381472469442544,
259
+ "learning_rate": 9.595676696276173e-06,
260
+ "loss": 0.583,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 0.15881958417169684,
265
+ "grad_norm": 2.3265871885088503,
266
+ "learning_rate": 9.567727288213005e-06,
267
+ "loss": 0.5623,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 0.1631120053655265,
272
+ "grad_norm": 2.0021378156582963,
273
+ "learning_rate": 9.538887392664544e-06,
274
+ "loss": 0.6318,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 0.16740442655935614,
279
+ "grad_norm": 1.0984958441170714,
280
+ "learning_rate": 9.50916263202557e-06,
281
+ "loss": 0.4548,
282
+ "step": 39
283
+ },
284
+ {
285
+ "epoch": 0.17169684775318578,
286
+ "grad_norm": 1.8318936065536409,
287
+ "learning_rate": 9.478558801197065e-06,
288
+ "loss": 0.5985,
289
+ "step": 40
290
+ },
291
+ {
292
+ "epoch": 0.17598926894701541,
293
+ "grad_norm": 2.7994275799684076,
294
+ "learning_rate": 9.44708186645649e-06,
295
+ "loss": 0.5926,
296
+ "step": 41
297
+ },
298
+ {
299
+ "epoch": 0.18028169014084508,
300
+ "grad_norm": 2.072220455177539,
301
+ "learning_rate": 9.414737964294636e-06,
302
+ "loss": 0.5318,
303
+ "step": 42
304
+ },
305
+ {
306
+ "epoch": 0.18457411133467472,
307
+ "grad_norm": 2.2812531791006645,
308
+ "learning_rate": 9.381533400219319e-06,
309
+ "loss": 0.5948,
310
+ "step": 43
311
+ },
312
+ {
313
+ "epoch": 0.18886653252850436,
314
+ "grad_norm": 1.8766396474219533,
315
+ "learning_rate": 9.347474647526095e-06,
316
+ "loss": 0.5514,
317
+ "step": 44
318
+ },
319
+ {
320
+ "epoch": 0.193158953722334,
321
+ "grad_norm": 1.9908306217286644,
322
+ "learning_rate": 9.312568346036288e-06,
323
+ "loss": 0.5282,
324
+ "step": 45
325
+ },
326
+ {
327
+ "epoch": 0.19745137491616366,
328
+ "grad_norm": 2.2942225048556284,
329
+ "learning_rate": 9.276821300802535e-06,
330
+ "loss": 0.5875,
331
+ "step": 46
332
+ },
333
+ {
334
+ "epoch": 0.2017437961099933,
335
+ "grad_norm": 3.1824151916415087,
336
+ "learning_rate": 9.24024048078213e-06,
337
+ "loss": 0.6144,
338
+ "step": 47
339
+ },
340
+ {
341
+ "epoch": 0.20603621730382293,
342
+ "grad_norm": 0.992721768550404,
343
+ "learning_rate": 9.202833017478421e-06,
344
+ "loss": 0.4847,
345
+ "step": 48
346
+ },
347
+ {
348
+ "epoch": 0.21032863849765257,
349
+ "grad_norm": 1.9310743502843328,
350
+ "learning_rate": 9.164606203550498e-06,
351
+ "loss": 0.5974,
352
+ "step": 49
353
+ },
354
+ {
355
+ "epoch": 0.21462105969148224,
356
+ "grad_norm": 2.1730863843947392,
357
+ "learning_rate": 9.125567491391476e-06,
358
+ "loss": 0.6293,
359
+ "step": 50
360
+ },
361
+ {
362
+ "epoch": 0.21891348088531187,
363
+ "grad_norm": 0.8680338310564839,
364
+ "learning_rate": 9.085724491675642e-06,
365
+ "loss": 0.4757,
366
+ "step": 51
367
+ },
368
+ {
369
+ "epoch": 0.2232059020791415,
370
+ "grad_norm": 2.1915863963781916,
371
+ "learning_rate": 9.045084971874738e-06,
372
+ "loss": 0.5925,
373
+ "step": 52
374
+ },
375
+ {
376
+ "epoch": 0.22749832327297115,
377
+ "grad_norm": 2.3492931220336195,
378
+ "learning_rate": 9.003656854743667e-06,
379
+ "loss": 0.6402,
380
+ "step": 53
381
+ },
382
+ {
383
+ "epoch": 0.2317907444668008,
384
+ "grad_norm": 0.8164522682092396,
385
+ "learning_rate": 8.961448216775955e-06,
386
+ "loss": 0.4382,
387
+ "step": 54
388
+ },
389
+ {
390
+ "epoch": 0.23608316566063045,
391
+ "grad_norm": 2.2933091603858418,
392
+ "learning_rate": 8.9184672866292e-06,
393
+ "loss": 0.5367,
394
+ "step": 55
395
+ },
396
+ {
397
+ "epoch": 0.2403755868544601,
398
+ "grad_norm": 2.051540581160434,
399
+ "learning_rate": 8.874722443520898e-06,
400
+ "loss": 0.5736,
401
+ "step": 56
402
+ },
403
+ {
404
+ "epoch": 0.24466800804828973,
405
+ "grad_norm": 1.9508118237454382,
406
+ "learning_rate": 8.83022221559489e-06,
407
+ "loss": 0.6196,
408
+ "step": 57
409
+ },
410
+ {
411
+ "epoch": 0.2489604292421194,
412
+ "grad_norm": 2.4166528722303036,
413
+ "learning_rate": 8.784975278258783e-06,
414
+ "loss": 0.5279,
415
+ "step": 58
416
+ },
417
+ {
418
+ "epoch": 0.25325285043594903,
419
+ "grad_norm": 1.9719959484618856,
420
+ "learning_rate": 8.73899045249266e-06,
421
+ "loss": 0.5248,
422
+ "step": 59
423
+ },
424
+ {
425
+ "epoch": 0.2575452716297787,
426
+ "grad_norm": 2.088094168914141,
427
+ "learning_rate": 8.692276703129421e-06,
428
+ "loss": 0.5436,
429
+ "step": 60
430
+ },
431
+ {
432
+ "epoch": 0.2618376928236083,
433
+ "grad_norm": 2.347294342285649,
434
+ "learning_rate": 8.644843137107058e-06,
435
+ "loss": 0.7,
436
+ "step": 61
437
+ },
438
+ {
439
+ "epoch": 0.26613011401743797,
440
+ "grad_norm": 2.152662276659629,
441
+ "learning_rate": 8.596699001693257e-06,
442
+ "loss": 0.5052,
443
+ "step": 62
444
+ },
445
+ {
446
+ "epoch": 0.2704225352112676,
447
+ "grad_norm": 2.1260026022790552,
448
+ "learning_rate": 8.547853682682605e-06,
449
+ "loss": 0.6121,
450
+ "step": 63
451
+ },
452
+ {
453
+ "epoch": 0.27471495640509724,
454
+ "grad_norm": 1.9148541801577235,
455
+ "learning_rate": 8.498316702566828e-06,
456
+ "loss": 0.5516,
457
+ "step": 64
458
+ },
459
+ {
460
+ "epoch": 0.2790073775989269,
461
+ "grad_norm": 2.134479085245887,
462
+ "learning_rate": 8.44809771867835e-06,
463
+ "loss": 0.6297,
464
+ "step": 65
465
+ },
466
+ {
467
+ "epoch": 0.2832997987927565,
468
+ "grad_norm": 1.776446730314099,
469
+ "learning_rate": 8.397206521307584e-06,
470
+ "loss": 0.5337,
471
+ "step": 66
472
+ },
473
+ {
474
+ "epoch": 0.2875922199865862,
475
+ "grad_norm": 1.955780895559264,
476
+ "learning_rate": 8.345653031794292e-06,
477
+ "loss": 0.6187,
478
+ "step": 67
479
+ },
480
+ {
481
+ "epoch": 0.29188464118041585,
482
+ "grad_norm": 2.065677438153802,
483
+ "learning_rate": 8.293447300593402e-06,
484
+ "loss": 0.4712,
485
+ "step": 68
486
+ },
487
+ {
488
+ "epoch": 0.29617706237424546,
489
+ "grad_norm": 1.929637625719691,
490
+ "learning_rate": 8.240599505315656e-06,
491
+ "loss": 0.5638,
492
+ "step": 69
493
+ },
494
+ {
495
+ "epoch": 0.3004694835680751,
496
+ "grad_norm": 2.1234613246255294,
497
+ "learning_rate": 8.18711994874345e-06,
498
+ "loss": 0.5622,
499
+ "step": 70
500
+ },
501
+ {
502
+ "epoch": 0.3047619047619048,
503
+ "grad_norm": 2.4974658951008935,
504
+ "learning_rate": 8.133019056822303e-06,
505
+ "loss": 0.5656,
506
+ "step": 71
507
+ },
508
+ {
509
+ "epoch": 0.3090543259557344,
510
+ "grad_norm": 2.1148121496211028,
511
+ "learning_rate": 8.078307376628292e-06,
512
+ "loss": 0.5706,
513
+ "step": 72
514
+ },
515
+ {
516
+ "epoch": 0.31334674714956406,
517
+ "grad_norm": 1.9637387645317304,
518
+ "learning_rate": 8.022995574311876e-06,
519
+ "loss": 0.6431,
520
+ "step": 73
521
+ },
522
+ {
523
+ "epoch": 0.3176391683433937,
524
+ "grad_norm": 2.2321260500467996,
525
+ "learning_rate": 7.967094433018508e-06,
526
+ "loss": 0.6038,
527
+ "step": 74
528
+ },
529
+ {
530
+ "epoch": 0.32193158953722334,
531
+ "grad_norm": 2.1333068986028136,
532
+ "learning_rate": 7.910614850786448e-06,
533
+ "loss": 0.5666,
534
+ "step": 75
535
+ },
536
+ {
537
+ "epoch": 0.326224010731053,
538
+ "grad_norm": 2.195983244813881,
539
+ "learning_rate": 7.85356783842216e-06,
540
+ "loss": 0.5877,
541
+ "step": 76
542
+ },
543
+ {
544
+ "epoch": 0.3305164319248826,
545
+ "grad_norm": 2.9185529975089644,
546
+ "learning_rate": 7.795964517353734e-06,
547
+ "loss": 0.5221,
548
+ "step": 77
549
+ },
550
+ {
551
+ "epoch": 0.3348088531187123,
552
+ "grad_norm": 2.1356064453519363,
553
+ "learning_rate": 7.737816117462752e-06,
554
+ "loss": 0.5536,
555
+ "step": 78
556
+ },
557
+ {
558
+ "epoch": 0.33910127431254194,
559
+ "grad_norm": 0.9888358843543892,
560
+ "learning_rate": 7.679133974894984e-06,
561
+ "loss": 0.427,
562
+ "step": 79
563
+ },
564
+ {
565
+ "epoch": 0.34339369550637155,
566
+ "grad_norm": 0.9532274184167417,
567
+ "learning_rate": 7.619929529850397e-06,
568
+ "loss": 0.4607,
569
+ "step": 80
570
+ },
571
+ {
572
+ "epoch": 0.3476861167002012,
573
+ "grad_norm": 1.969695168470127,
574
+ "learning_rate": 7.560214324352858e-06,
575
+ "loss": 0.525,
576
+ "step": 81
577
+ },
578
+ {
579
+ "epoch": 0.35197853789403083,
580
+ "grad_norm": 2.2331654792734272,
581
+ "learning_rate": 7.500000000000001e-06,
582
+ "loss": 0.6041,
583
+ "step": 82
584
+ },
585
+ {
586
+ "epoch": 0.3562709590878605,
587
+ "grad_norm": 2.4884565474083606,
588
+ "learning_rate": 7.4392982956936644e-06,
589
+ "loss": 0.5886,
590
+ "step": 83
591
+ },
592
+ {
593
+ "epoch": 0.36056338028169016,
594
+ "grad_norm": 1.8314120774170615,
595
+ "learning_rate": 7.378121045351378e-06,
596
+ "loss": 0.5349,
597
+ "step": 84
598
+ },
599
+ {
600
+ "epoch": 0.36485580147551977,
601
+ "grad_norm": 2.1762807073421127,
602
+ "learning_rate": 7.31648017559931e-06,
603
+ "loss": 0.5606,
604
+ "step": 85
605
+ },
606
+ {
607
+ "epoch": 0.36914822266934944,
608
+ "grad_norm": 2.422109142275802,
609
+ "learning_rate": 7.254387703447154e-06,
610
+ "loss": 0.5431,
611
+ "step": 86
612
+ },
613
+ {
614
+ "epoch": 0.3734406438631791,
615
+ "grad_norm": 1.9079552738678454,
616
+ "learning_rate": 7.191855733945388e-06,
617
+ "loss": 0.5553,
618
+ "step": 87
619
+ },
620
+ {
621
+ "epoch": 0.3777330650570087,
622
+ "grad_norm": 1.760125442274873,
623
+ "learning_rate": 7.128896457825364e-06,
624
+ "loss": 0.5808,
625
+ "step": 88
626
+ },
627
+ {
628
+ "epoch": 0.3820254862508384,
629
+ "grad_norm": 0.9979331285164651,
630
+ "learning_rate": 7.06552214912271e-06,
631
+ "loss": 0.4579,
632
+ "step": 89
633
+ },
634
+ {
635
+ "epoch": 0.386317907444668,
636
+ "grad_norm": 1.8496753131089991,
637
+ "learning_rate": 7.0017451627844765e-06,
638
+ "loss": 0.591,
639
+ "step": 90
640
+ },
641
+ {
642
+ "epoch": 0.39061032863849765,
643
+ "grad_norm": 2.3343608471053265,
644
+ "learning_rate": 6.9375779322605154e-06,
645
+ "loss": 0.6091,
646
+ "step": 91
647
+ },
648
+ {
649
+ "epoch": 0.3949027498323273,
650
+ "grad_norm": 1.9668213618430554,
651
+ "learning_rate": 6.873032967079562e-06,
652
+ "loss": 0.6944,
653
+ "step": 92
654
+ },
655
+ {
656
+ "epoch": 0.3991951710261569,
657
+ "grad_norm": 1.8725242772507493,
658
+ "learning_rate": 6.808122850410461e-06,
659
+ "loss": 0.6055,
660
+ "step": 93
661
+ },
662
+ {
663
+ "epoch": 0.4034875922199866,
664
+ "grad_norm": 1.9966003945224369,
665
+ "learning_rate": 6.7428602366090764e-06,
666
+ "loss": 0.5595,
667
+ "step": 94
668
+ },
669
+ {
670
+ "epoch": 0.40778001341381626,
671
+ "grad_norm": 3.053074851635477,
672
+ "learning_rate": 6.677257848751276e-06,
673
+ "loss": 0.5857,
674
+ "step": 95
675
+ },
676
+ {
677
+ "epoch": 0.41207243460764587,
678
+ "grad_norm": 2.010221226340498,
679
+ "learning_rate": 6.611328476152557e-06,
680
+ "loss": 0.5995,
681
+ "step": 96
682
+ },
683
+ {
684
+ "epoch": 0.41636485580147553,
685
+ "grad_norm": 1.742641730594434,
686
+ "learning_rate": 6.545084971874738e-06,
687
+ "loss": 0.5389,
688
+ "step": 97
689
+ },
690
+ {
691
+ "epoch": 0.42065727699530514,
692
+ "grad_norm": 0.7858607450939203,
693
+ "learning_rate": 6.4785402502202345e-06,
694
+ "loss": 0.4598,
695
+ "step": 98
696
+ },
697
+ {
698
+ "epoch": 0.4249496981891348,
699
+ "grad_norm": 1.9026874984032676,
700
+ "learning_rate": 6.411707284214384e-06,
701
+ "loss": 0.5824,
702
+ "step": 99
703
+ },
704
+ {
705
+ "epoch": 0.42924211938296447,
706
+ "grad_norm": 1.7972924537621116,
707
+ "learning_rate": 6.344599103076329e-06,
708
+ "loss": 0.5605,
709
+ "step": 100
710
+ },
711
+ {
712
+ "epoch": 0.4335345405767941,
713
+ "grad_norm": 1.6566505050926905,
714
+ "learning_rate": 6.277228789678953e-06,
715
+ "loss": 0.55,
716
+ "step": 101
717
+ },
718
+ {
719
+ "epoch": 0.43782696177062375,
720
+ "grad_norm": 0.7871200662869098,
721
+ "learning_rate": 6.209609477998339e-06,
722
+ "loss": 0.4487,
723
+ "step": 102
724
+ },
725
+ {
726
+ "epoch": 0.4421193829644534,
727
+ "grad_norm": 2.118924742242862,
728
+ "learning_rate": 6.141754350553279e-06,
729
+ "loss": 0.5791,
730
+ "step": 103
731
+ },
732
+ {
733
+ "epoch": 0.446411804158283,
734
+ "grad_norm": 1.9417216221368725,
735
+ "learning_rate": 6.073676635835317e-06,
736
+ "loss": 0.5321,
737
+ "step": 104
738
+ },
739
+ {
740
+ "epoch": 0.4507042253521127,
741
+ "grad_norm": 0.8301362013675532,
742
+ "learning_rate": 6.005389605729824e-06,
743
+ "loss": 0.471,
744
+ "step": 105
745
+ },
746
+ {
747
+ "epoch": 0.4549966465459423,
748
+ "grad_norm": 1.9216842351031653,
749
+ "learning_rate": 5.936906572928625e-06,
750
+ "loss": 0.4981,
751
+ "step": 106
752
+ },
753
+ {
754
+ "epoch": 0.45928906773977196,
755
+ "grad_norm": 2.1309977101502913,
756
+ "learning_rate": 5.8682408883346535e-06,
757
+ "loss": 0.523,
758
+ "step": 107
759
+ },
760
+ {
761
+ "epoch": 0.4635814889336016,
762
+ "grad_norm": 6.307531137311205,
763
+ "learning_rate": 5.799405938459175e-06,
764
+ "loss": 0.5631,
765
+ "step": 108
766
+ },
767
+ {
768
+ "epoch": 0.46787391012743124,
769
+ "grad_norm": 0.8161016261331794,
770
+ "learning_rate": 5.730415142812059e-06,
771
+ "loss": 0.4739,
772
+ "step": 109
773
+ },
774
+ {
775
+ "epoch": 0.4721663313212609,
776
+ "grad_norm": 1.9009887448608773,
777
+ "learning_rate": 5.661281951285613e-06,
778
+ "loss": 0.6272,
779
+ "step": 110
780
+ },
781
+ {
782
+ "epoch": 0.47645875251509057,
783
+ "grad_norm": 2.2577462172723233,
784
+ "learning_rate": 5.592019841532507e-06,
785
+ "loss": 0.5796,
786
+ "step": 111
787
+ },
788
+ {
789
+ "epoch": 0.4807511737089202,
790
+ "grad_norm": 2.1012817228049814,
791
+ "learning_rate": 5.522642316338268e-06,
792
+ "loss": 0.6074,
793
+ "step": 112
794
+ },
795
+ {
796
+ "epoch": 0.48504359490274984,
797
+ "grad_norm": 3.169512060210574,
798
+ "learning_rate": 5.453162900988902e-06,
799
+ "loss": 0.5817,
800
+ "step": 113
801
+ },
802
+ {
803
+ "epoch": 0.48933601609657945,
804
+ "grad_norm": 0.7965146219233805,
805
+ "learning_rate": 5.383595140634093e-06,
806
+ "loss": 0.4628,
807
+ "step": 114
808
+ },
809
+ {
810
+ "epoch": 0.4936284372904091,
811
+ "grad_norm": 2.528449046345642,
812
+ "learning_rate": 5.3139525976465675e-06,
813
+ "loss": 0.6113,
814
+ "step": 115
815
+ },
816
+ {
817
+ "epoch": 0.4979208584842388,
818
+ "grad_norm": 2.169410644155486,
819
+ "learning_rate": 5.244248848978067e-06,
820
+ "loss": 0.6655,
821
+ "step": 116
822
+ },
823
+ {
824
+ "epoch": 0.5022132796780684,
825
+ "grad_norm": 2.114218695353453,
826
+ "learning_rate": 5.174497483512506e-06,
827
+ "loss": 0.5438,
828
+ "step": 117
829
+ },
830
+ {
831
+ "epoch": 0.5065057008718981,
832
+ "grad_norm": 2.322736697640736,
833
+ "learning_rate": 5.1047120994167855e-06,
834
+ "loss": 0.619,
835
+ "step": 118
836
+ },
837
+ {
838
+ "epoch": 0.5107981220657277,
839
+ "grad_norm": 1.9355642603619068,
840
+ "learning_rate": 5.034906301489808e-06,
841
+ "loss": 0.568,
842
+ "step": 119
843
+ },
844
+ {
845
+ "epoch": 0.5150905432595574,
846
+ "grad_norm": 0.8275929454164218,
847
+ "learning_rate": 4.965093698510192e-06,
848
+ "loss": 0.4642,
849
+ "step": 120
850
+ },
851
+ {
852
+ "epoch": 0.5193829644533869,
853
+ "grad_norm": 0.7826606670717038,
854
+ "learning_rate": 4.895287900583216e-06,
855
+ "loss": 0.428,
856
+ "step": 121
857
+ },
858
+ {
859
+ "epoch": 0.5236753856472166,
860
+ "grad_norm": 2.227565392356624,
861
+ "learning_rate": 4.825502516487497e-06,
862
+ "loss": 0.616,
863
+ "step": 122
864
+ },
865
+ {
866
+ "epoch": 0.5279678068410463,
867
+ "grad_norm": 1.9049065560319947,
868
+ "learning_rate": 4.755751151021934e-06,
869
+ "loss": 0.6396,
870
+ "step": 123
871
+ },
872
+ {
873
+ "epoch": 0.5322602280348759,
874
+ "grad_norm": 2.360278324447153,
875
+ "learning_rate": 4.686047402353433e-06,
876
+ "loss": 0.581,
877
+ "step": 124
878
+ },
879
+ {
880
+ "epoch": 0.5365526492287056,
881
+ "grad_norm": 2.1436744795832463,
882
+ "learning_rate": 4.6164048593659076e-06,
883
+ "loss": 0.6027,
884
+ "step": 125
885
+ },
886
+ {
887
+ "epoch": 0.5408450704225352,
888
+ "grad_norm": 2.0687980774005856,
889
+ "learning_rate": 4.546837099011101e-06,
890
+ "loss": 0.5455,
891
+ "step": 126
892
+ },
893
+ {
894
+ "epoch": 0.5451374916163648,
895
+ "grad_norm": 2.094975644434325,
896
+ "learning_rate": 4.477357683661734e-06,
897
+ "loss": 0.5659,
898
+ "step": 127
899
+ },
900
+ {
901
+ "epoch": 0.5494299128101945,
902
+ "grad_norm": 2.183849966879906,
903
+ "learning_rate": 4.4079801584674955e-06,
904
+ "loss": 0.578,
905
+ "step": 128
906
+ },
907
+ {
908
+ "epoch": 0.5537223340040242,
909
+ "grad_norm": 1.8848396606946802,
910
+ "learning_rate": 4.3387180487143875e-06,
911
+ "loss": 0.5052,
912
+ "step": 129
913
+ },
914
+ {
915
+ "epoch": 0.5580147551978538,
916
+ "grad_norm": 0.843007824971089,
917
+ "learning_rate": 4.269584857187942e-06,
918
+ "loss": 0.4997,
919
+ "step": 130
920
+ },
921
+ {
922
+ "epoch": 0.5623071763916835,
923
+ "grad_norm": 2.763950937739874,
924
+ "learning_rate": 4.200594061540827e-06,
925
+ "loss": 0.5819,
926
+ "step": 131
927
+ },
928
+ {
929
+ "epoch": 0.566599597585513,
930
+ "grad_norm": 1.7630340741332657,
931
+ "learning_rate": 4.131759111665349e-06,
932
+ "loss": 0.604,
933
+ "step": 132
934
+ },
935
+ {
936
+ "epoch": 0.5708920187793427,
937
+ "grad_norm": 3.2094078977714897,
938
+ "learning_rate": 4.063093427071376e-06,
939
+ "loss": 0.6265,
940
+ "step": 133
941
+ },
942
+ {
943
+ "epoch": 0.5751844399731724,
944
+ "grad_norm": 1.8312046959677455,
945
+ "learning_rate": 3.994610394270178e-06,
946
+ "loss": 0.5885,
947
+ "step": 134
948
+ },
949
+ {
950
+ "epoch": 0.579476861167002,
951
+ "grad_norm": 1.8491871843778356,
952
+ "learning_rate": 3.926323364164684e-06,
953
+ "loss": 0.634,
954
+ "step": 135
955
+ },
956
+ {
957
+ "epoch": 0.5837692823608317,
958
+ "grad_norm": 2.6473671182169167,
959
+ "learning_rate": 3.8582456494467214e-06,
960
+ "loss": 0.6355,
961
+ "step": 136
962
+ },
963
+ {
964
+ "epoch": 0.5880617035546613,
965
+ "grad_norm": 2.999849822112049,
966
+ "learning_rate": 3.790390522001662e-06,
967
+ "loss": 0.529,
968
+ "step": 137
969
+ },
970
+ {
971
+ "epoch": 0.5923541247484909,
972
+ "grad_norm": 1.9445772581815945,
973
+ "learning_rate": 3.7227712103210485e-06,
974
+ "loss": 0.5575,
975
+ "step": 138
976
+ },
977
+ {
978
+ "epoch": 0.5966465459423206,
979
+ "grad_norm": 1.8104560751827103,
980
+ "learning_rate": 3.655400896923672e-06,
981
+ "loss": 0.5254,
982
+ "step": 139
983
+ },
984
+ {
985
+ "epoch": 0.6009389671361502,
986
+ "grad_norm": 2.3671152557639346,
987
+ "learning_rate": 3.5882927157856175e-06,
988
+ "loss": 0.5583,
989
+ "step": 140
990
+ },
991
+ {
992
+ "epoch": 0.6052313883299799,
993
+ "grad_norm": 2.074346620633345,
994
+ "learning_rate": 3.521459749779769e-06,
995
+ "loss": 0.6084,
996
+ "step": 141
997
+ },
998
+ {
999
+ "epoch": 0.6095238095238096,
1000
+ "grad_norm": 2.035892537869217,
1001
+ "learning_rate": 3.4549150281252635e-06,
1002
+ "loss": 0.5832,
1003
+ "step": 142
1004
+ },
1005
+ {
1006
+ "epoch": 0.6138162307176391,
1007
+ "grad_norm": 2.1099675037548966,
1008
+ "learning_rate": 3.3886715238474454e-06,
1009
+ "loss": 0.5579,
1010
+ "step": 143
1011
+ },
1012
+ {
1013
+ "epoch": 0.6181086519114688,
1014
+ "grad_norm": 2.0468759829486443,
1015
+ "learning_rate": 3.322742151248726e-06,
1016
+ "loss": 0.5848,
1017
+ "step": 144
1018
+ },
1019
+ {
1020
+ "epoch": 0.6224010731052985,
1021
+ "grad_norm": 1.9674918076912449,
1022
+ "learning_rate": 3.2571397633909252e-06,
1023
+ "loss": 0.5398,
1024
+ "step": 145
1025
+ },
1026
+ {
1027
+ "epoch": 0.6266934942991281,
1028
+ "grad_norm": 1.7459454556549392,
1029
+ "learning_rate": 3.1918771495895395e-06,
1030
+ "loss": 0.6756,
1031
+ "step": 146
1032
+ },
1033
+ {
1034
+ "epoch": 0.6309859154929578,
1035
+ "grad_norm": 0.7735085423697842,
1036
+ "learning_rate": 3.12696703292044e-06,
1037
+ "loss": 0.4194,
1038
+ "step": 147
1039
+ },
1040
+ {
1041
+ "epoch": 0.6352783366867873,
1042
+ "grad_norm": 1.820298479603609,
1043
+ "learning_rate": 3.0624220677394854e-06,
1044
+ "loss": 0.5858,
1045
+ "step": 148
1046
+ },
1047
+ {
1048
+ "epoch": 0.639570757880617,
1049
+ "grad_norm": 3.1630846211682,
1050
+ "learning_rate": 2.9982548372155264e-06,
1051
+ "loss": 0.5303,
1052
+ "step": 149
1053
+ },
1054
+ {
1055
+ "epoch": 0.6438631790744467,
1056
+ "grad_norm": 2.413654673008136,
1057
+ "learning_rate": 2.934477850877292e-06,
1058
+ "loss": 0.5315,
1059
+ "step": 150
1060
+ },
1061
+ {
1062
+ "epoch": 0.6481556002682763,
1063
+ "grad_norm": 2.508188149902217,
1064
+ "learning_rate": 2.871103542174637e-06,
1065
+ "loss": 0.5468,
1066
+ "step": 151
1067
+ },
1068
+ {
1069
+ "epoch": 0.652448021462106,
1070
+ "grad_norm": 1.801696332460669,
1071
+ "learning_rate": 2.8081442660546126e-06,
1072
+ "loss": 0.5817,
1073
+ "step": 152
1074
+ },
1075
+ {
1076
+ "epoch": 0.6567404426559356,
1077
+ "grad_norm": 2.26133822829944,
1078
+ "learning_rate": 2.7456122965528475e-06,
1079
+ "loss": 0.522,
1080
+ "step": 153
1081
+ },
1082
+ {
1083
+ "epoch": 0.6610328638497652,
1084
+ "grad_norm": 2.4471397871687834,
1085
+ "learning_rate": 2.683519824400693e-06,
1086
+ "loss": 0.5892,
1087
+ "step": 154
1088
+ },
1089
+ {
1090
+ "epoch": 0.6653252850435949,
1091
+ "grad_norm": 1.9131453194028882,
1092
+ "learning_rate": 2.6218789546486235e-06,
1093
+ "loss": 0.5554,
1094
+ "step": 155
1095
+ },
1096
+ {
1097
+ "epoch": 0.6696177062374246,
1098
+ "grad_norm": 2.4034600764131606,
1099
+ "learning_rate": 2.560701704306336e-06,
1100
+ "loss": 0.5969,
1101
+ "step": 156
1102
+ },
1103
+ {
1104
+ "epoch": 0.6739101274312542,
1105
+ "grad_norm": 2.1929545250468423,
1106
+ "learning_rate": 2.5000000000000015e-06,
1107
+ "loss": 0.5703,
1108
+ "step": 157
1109
+ },
1110
+ {
1111
+ "epoch": 0.6782025486250839,
1112
+ "grad_norm": 2.2198350864402348,
1113
+ "learning_rate": 2.4397856756471435e-06,
1114
+ "loss": 0.5812,
1115
+ "step": 158
1116
+ },
1117
+ {
1118
+ "epoch": 0.6824949698189134,
1119
+ "grad_norm": 2.0128371852734332,
1120
+ "learning_rate": 2.380070470149605e-06,
1121
+ "loss": 0.6307,
1122
+ "step": 159
1123
+ },
1124
+ {
1125
+ "epoch": 0.6867873910127431,
1126
+ "grad_norm": 2.217606056909539,
1127
+ "learning_rate": 2.320866025105016e-06,
1128
+ "loss": 0.5601,
1129
+ "step": 160
1130
+ },
1131
+ {
1132
+ "epoch": 0.6910798122065728,
1133
+ "grad_norm": 2.0541472609321065,
1134
+ "learning_rate": 2.2621838825372496e-06,
1135
+ "loss": 0.6326,
1136
+ "step": 161
1137
+ },
1138
+ {
1139
+ "epoch": 0.6953722334004024,
1140
+ "grad_norm": 1.7762192766929534,
1141
+ "learning_rate": 2.204035482646267e-06,
1142
+ "loss": 0.501,
1143
+ "step": 162
1144
+ },
1145
+ {
1146
+ "epoch": 0.6996646545942321,
1147
+ "grad_norm": 2.4025706210449322,
1148
+ "learning_rate": 2.146432161577842e-06,
1149
+ "loss": 0.5587,
1150
+ "step": 163
1151
+ },
1152
+ {
1153
+ "epoch": 0.7039570757880617,
1154
+ "grad_norm": 3.686601475649348,
1155
+ "learning_rate": 2.0893851492135536e-06,
1156
+ "loss": 0.5732,
1157
+ "step": 164
1158
+ },
1159
+ {
1160
+ "epoch": 0.7082494969818913,
1161
+ "grad_norm": 1.8617954191026609,
1162
+ "learning_rate": 2.0329055669814936e-06,
1163
+ "loss": 0.5018,
1164
+ "step": 165
1165
+ },
1166
+ {
1167
+ "epoch": 0.712541918175721,
1168
+ "grad_norm": 3.1015155924797804,
1169
+ "learning_rate": 1.977004425688126e-06,
1170
+ "loss": 0.6083,
1171
+ "step": 166
1172
+ },
1173
+ {
1174
+ "epoch": 0.7168343393695507,
1175
+ "grad_norm": 11.133598367985865,
1176
+ "learning_rate": 1.9216926233717087e-06,
1177
+ "loss": 0.5543,
1178
+ "step": 167
1179
+ },
1180
+ {
1181
+ "epoch": 0.7211267605633803,
1182
+ "grad_norm": 1.8192465630367278,
1183
+ "learning_rate": 1.8669809431776991e-06,
1184
+ "loss": 0.5863,
1185
+ "step": 168
1186
+ },
1187
+ {
1188
+ "epoch": 0.7254191817572099,
1189
+ "grad_norm": 2.0788969216539757,
1190
+ "learning_rate": 1.8128800512565514e-06,
1191
+ "loss": 0.5291,
1192
+ "step": 169
1193
+ },
1194
+ {
1195
+ "epoch": 0.7297116029510395,
1196
+ "grad_norm": 1.8368930044145042,
1197
+ "learning_rate": 1.7594004946843458e-06,
1198
+ "loss": 0.5378,
1199
+ "step": 170
1200
+ },
1201
+ {
1202
+ "epoch": 0.7340040241448692,
1203
+ "grad_norm": 2.0502782524895315,
1204
+ "learning_rate": 1.7065526994065973e-06,
1205
+ "loss": 0.5478,
1206
+ "step": 171
1207
+ },
1208
+ {
1209
+ "epoch": 0.7382964453386989,
1210
+ "grad_norm": 1.7763584764334766,
1211
+ "learning_rate": 1.6543469682057105e-06,
1212
+ "loss": 0.5448,
1213
+ "step": 172
1214
+ },
1215
+ {
1216
+ "epoch": 0.7425888665325285,
1217
+ "grad_norm": 1.7918310960966537,
1218
+ "learning_rate": 1.6027934786924187e-06,
1219
+ "loss": 0.6076,
1220
+ "step": 173
1221
+ },
1222
+ {
1223
+ "epoch": 0.7468812877263582,
1224
+ "grad_norm": 2.3563140946836523,
1225
+ "learning_rate": 1.551902281321651e-06,
1226
+ "loss": 0.565,
1227
+ "step": 174
1228
+ },
1229
+ {
1230
+ "epoch": 0.7511737089201878,
1231
+ "grad_norm": 1.8987524052104983,
1232
+ "learning_rate": 1.5016832974331725e-06,
1233
+ "loss": 0.5367,
1234
+ "step": 175
1235
+ },
1236
+ {
1237
+ "epoch": 0.7554661301140174,
1238
+ "grad_norm": 1.9189932438009185,
1239
+ "learning_rate": 1.4521463173173966e-06,
1240
+ "loss": 0.5435,
1241
+ "step": 176
1242
+ },
1243
+ {
1244
+ "epoch": 0.7597585513078471,
1245
+ "grad_norm": 2.42896938145852,
1246
+ "learning_rate": 1.4033009983067454e-06,
1247
+ "loss": 0.5141,
1248
+ "step": 177
1249
+ },
1250
+ {
1251
+ "epoch": 0.7640509725016768,
1252
+ "grad_norm": 2.5249548327367766,
1253
+ "learning_rate": 1.3551568628929434e-06,
1254
+ "loss": 0.674,
1255
+ "step": 178
1256
+ },
1257
+ {
1258
+ "epoch": 0.7683433936955064,
1259
+ "grad_norm": 2.806361559097513,
1260
+ "learning_rate": 1.3077232968705805e-06,
1261
+ "loss": 0.5517,
1262
+ "step": 179
1263
+ },
1264
+ {
1265
+ "epoch": 0.772635814889336,
1266
+ "grad_norm": 2.2153752757917555,
1267
+ "learning_rate": 1.2610095475073415e-06,
1268
+ "loss": 0.6408,
1269
+ "step": 180
1270
+ },
1271
+ {
1272
+ "epoch": 0.7769282360831656,
1273
+ "grad_norm": 2.5628201933255124,
1274
+ "learning_rate": 1.2150247217412186e-06,
1275
+ "loss": 0.5957,
1276
+ "step": 181
1277
+ },
1278
+ {
1279
+ "epoch": 0.7812206572769953,
1280
+ "grad_norm": 2.079321530887709,
1281
+ "learning_rate": 1.1697777844051105e-06,
1282
+ "loss": 0.6155,
1283
+ "step": 182
1284
+ },
1285
+ {
1286
+ "epoch": 0.785513078470825,
1287
+ "grad_norm": 3.2999932447363416,
1288
+ "learning_rate": 1.1252775564791023e-06,
1289
+ "loss": 0.5515,
1290
+ "step": 183
1291
+ },
1292
+ {
1293
+ "epoch": 0.7898054996646546,
1294
+ "grad_norm": 0.7905984900012323,
1295
+ "learning_rate": 1.0815327133708015e-06,
1296
+ "loss": 0.4313,
1297
+ "step": 184
1298
+ },
1299
+ {
1300
+ "epoch": 0.7940979208584842,
1301
+ "grad_norm": 1.9368152867312256,
1302
+ "learning_rate": 1.0385517832240472e-06,
1303
+ "loss": 0.6071,
1304
+ "step": 185
1305
+ },
1306
+ {
1307
+ "epoch": 0.7983903420523139,
1308
+ "grad_norm": 2.366580720258878,
1309
+ "learning_rate": 9.963431452563331e-07,
1310
+ "loss": 0.5578,
1311
+ "step": 186
1312
+ },
1313
+ {
1314
+ "epoch": 0.8026827632461435,
1315
+ "grad_norm": 2.3822261396548576,
1316
+ "learning_rate": 9.549150281252633e-07,
1317
+ "loss": 0.499,
1318
+ "step": 187
1319
+ },
1320
+ {
1321
+ "epoch": 0.8069751844399732,
1322
+ "grad_norm": 1.7417985644400509,
1323
+ "learning_rate": 9.142755083243577e-07,
1324
+ "loss": 0.5696,
1325
+ "step": 188
1326
+ },
1327
+ {
1328
+ "epoch": 0.8112676056338028,
1329
+ "grad_norm": 3.9103317258184376,
1330
+ "learning_rate": 8.744325086085248e-07,
1331
+ "loss": 0.5079,
1332
+ "step": 189
1333
+ },
1334
+ {
1335
+ "epoch": 0.8155600268276325,
1336
+ "grad_norm": 3.0678763221012586,
1337
+ "learning_rate": 8.353937964495029e-07,
1338
+ "loss": 0.5418,
1339
+ "step": 190
1340
+ },
1341
+ {
1342
+ "epoch": 0.8198524480214621,
1343
+ "grad_norm": 2.042653243276808,
1344
+ "learning_rate": 7.971669825215789e-07,
1345
+ "loss": 0.5748,
1346
+ "step": 191
1347
+ },
1348
+ {
1349
+ "epoch": 0.8241448692152917,
1350
+ "grad_norm": 2.39821396059648,
1351
+ "learning_rate": 7.597595192178702e-07,
1352
+ "loss": 0.5428,
1353
+ "step": 192
1354
+ },
1355
+ {
1356
+ "epoch": 0.8284372904091214,
1357
+ "grad_norm": 2.762719441820346,
1358
+ "learning_rate": 7.23178699197467e-07,
1359
+ "loss": 0.5673,
1360
+ "step": 193
1361
+ },
1362
+ {
1363
+ "epoch": 0.8327297116029511,
1364
+ "grad_norm": 1.9044906325399893,
1365
+ "learning_rate": 6.874316539637127e-07,
1366
+ "loss": 0.5932,
1367
+ "step": 194
1368
+ },
1369
+ {
1370
+ "epoch": 0.8370221327967807,
1371
+ "grad_norm": 1.856435008918489,
1372
+ "learning_rate": 6.52525352473905e-07,
1373
+ "loss": 0.5787,
1374
+ "step": 195
1375
+ },
1376
+ {
1377
+ "epoch": 0.8413145539906103,
1378
+ "grad_norm": 2.3652417447261995,
1379
+ "learning_rate": 6.184665997806832e-07,
1380
+ "loss": 0.5167,
1381
+ "step": 196
1382
+ },
1383
+ {
1384
+ "epoch": 0.84560697518444,
1385
+ "grad_norm": 2.723770526598716,
1386
+ "learning_rate": 5.852620357053651e-07,
1387
+ "loss": 0.571,
1388
+ "step": 197
1389
+ },
1390
+ {
1391
+ "epoch": 0.8498993963782696,
1392
+ "grad_norm": 2.4817466195220437,
1393
+ "learning_rate": 5.529181335435124e-07,
1394
+ "loss": 0.58,
1395
+ "step": 198
1396
+ },
1397
+ {
1398
+ "epoch": 0.8541918175720993,
1399
+ "grad_norm": 2.0455723374907397,
1400
+ "learning_rate": 5.214411988029355e-07,
1401
+ "loss": 0.5313,
1402
+ "step": 199
1403
+ },
1404
+ {
1405
+ "epoch": 0.8584842387659289,
1406
+ "grad_norm": 1.9318379229380933,
1407
+ "learning_rate": 4.908373679744316e-07,
1408
+ "loss": 0.5439,
1409
+ "step": 200
1410
+ },
1411
+ {
1412
+ "epoch": 0.8627766599597585,
1413
+ "grad_norm": 0.7959253630064103,
1414
+ "learning_rate": 4.6111260733545714e-07,
1415
+ "loss": 0.4454,
1416
+ "step": 201
1417
+ },
1418
+ {
1419
+ "epoch": 0.8670690811535882,
1420
+ "grad_norm": 1.9913907969524394,
1421
+ "learning_rate": 4.322727117869951e-07,
1422
+ "loss": 0.5008,
1423
+ "step": 202
1424
+ },
1425
+ {
1426
+ "epoch": 0.8713615023474178,
1427
+ "grad_norm": 2.1458695326057082,
1428
+ "learning_rate": 4.043233037238281e-07,
1429
+ "loss": 0.5459,
1430
+ "step": 203
1431
+ },
1432
+ {
1433
+ "epoch": 0.8756539235412475,
1434
+ "grad_norm": 1.9619666249914482,
1435
+ "learning_rate": 3.772698319384349e-07,
1436
+ "loss": 0.4999,
1437
+ "step": 204
1438
+ },
1439
+ {
1440
+ "epoch": 0.8799463447350772,
1441
+ "grad_norm": 4.3401484961367744,
1442
+ "learning_rate": 3.511175705587433e-07,
1443
+ "loss": 0.5758,
1444
+ "step": 205
1445
+ },
1446
+ {
1447
+ "epoch": 0.8842387659289068,
1448
+ "grad_norm": 2.5430076829964174,
1449
+ "learning_rate": 3.258716180199278e-07,
1450
+ "loss": 0.5761,
1451
+ "step": 206
1452
+ },
1453
+ {
1454
+ "epoch": 0.8885311871227364,
1455
+ "grad_norm": 0.767231711493243,
1456
+ "learning_rate": 3.015368960704584e-07,
1457
+ "loss": 0.4614,
1458
+ "step": 207
1459
+ },
1460
+ {
1461
+ "epoch": 0.892823608316566,
1462
+ "grad_norm": 2.193097249503329,
1463
+ "learning_rate": 2.7811814881259503e-07,
1464
+ "loss": 0.6247,
1465
+ "step": 208
1466
+ },
1467
+ {
1468
+ "epoch": 0.8971160295103957,
1469
+ "grad_norm": 1.9331493033717462,
1470
+ "learning_rate": 2.556199417775174e-07,
1471
+ "loss": 0.56,
1472
+ "step": 209
1473
+ },
1474
+ {
1475
+ "epoch": 0.9014084507042254,
1476
+ "grad_norm": 2.057966480432949,
1477
+ "learning_rate": 2.3404666103526542e-07,
1478
+ "loss": 0.5618,
1479
+ "step": 210
1480
+ },
1481
+ {
1482
+ "epoch": 0.905700871898055,
1483
+ "grad_norm": 2.351596162489054,
1484
+ "learning_rate": 2.134025123396638e-07,
1485
+ "loss": 0.4834,
1486
+ "step": 211
1487
+ },
1488
+ {
1489
+ "epoch": 0.9099932930918846,
1490
+ "grad_norm": 1.9120169610557864,
1491
+ "learning_rate": 1.9369152030840553e-07,
1492
+ "loss": 0.5541,
1493
+ "step": 212
1494
+ },
1495
+ {
1496
+ "epoch": 0.9142857142857143,
1497
+ "grad_norm": 2.2049446195768763,
1498
+ "learning_rate": 1.7491752763844294e-07,
1499
+ "loss": 0.5889,
1500
+ "step": 213
1501
+ },
1502
+ {
1503
+ "epoch": 0.9185781354795439,
1504
+ "grad_norm": 2.0434712402893145,
1505
+ "learning_rate": 1.5708419435684463e-07,
1506
+ "loss": 0.5638,
1507
+ "step": 214
1508
+ },
1509
+ {
1510
+ "epoch": 0.9228705566733736,
1511
+ "grad_norm": 2.1757829918674916,
1512
+ "learning_rate": 1.4019499710726913e-07,
1513
+ "loss": 0.642,
1514
+ "step": 215
1515
+ },
1516
+ {
1517
+ "epoch": 0.9271629778672033,
1518
+ "grad_norm": 1.9838844707633234,
1519
+ "learning_rate": 1.2425322847218368e-07,
1520
+ "loss": 0.6747,
1521
+ "step": 216
1522
+ },
1523
+ {
1524
+ "epoch": 0.9314553990610329,
1525
+ "grad_norm": 2.3027124358123836,
1526
+ "learning_rate": 1.0926199633097156e-07,
1527
+ "loss": 0.5337,
1528
+ "step": 217
1529
+ },
1530
+ {
1531
+ "epoch": 0.9357478202548625,
1532
+ "grad_norm": 1.8834569228162623,
1533
+ "learning_rate": 9.522422325404234e-08,
1534
+ "loss": 0.4917,
1535
+ "step": 218
1536
+ },
1537
+ {
1538
+ "epoch": 0.9400402414486921,
1539
+ "grad_norm": 1.8818328820882426,
1540
+ "learning_rate": 8.214264593307097e-08,
1541
+ "loss": 0.5806,
1542
+ "step": 219
1543
+ },
1544
+ {
1545
+ "epoch": 0.9443326626425218,
1546
+ "grad_norm": 2.121602640833575,
1547
+ "learning_rate": 7.001981464747565e-08,
1548
+ "loss": 0.6032,
1549
+ "step": 220
1550
+ },
1551
+ {
1552
+ "epoch": 0.9486250838363515,
1553
+ "grad_norm": 1.7145222003788387,
1554
+ "learning_rate": 5.8858092767236084e-08,
1555
+ "loss": 0.5455,
1556
+ "step": 221
1557
+ },
1558
+ {
1559
+ "epoch": 0.9529175050301811,
1560
+ "grad_norm": 1.9516038348847442,
1561
+ "learning_rate": 4.865965629214819e-08,
1562
+ "loss": 0.4984,
1563
+ "step": 222
1564
+ },
1565
+ {
1566
+ "epoch": 0.9572099262240107,
1567
+ "grad_norm": 2.156767335001454,
1568
+ "learning_rate": 3.9426493427611177e-08,
1569
+ "loss": 0.5284,
1570
+ "step": 223
1571
+ },
1572
+ {
1573
+ "epoch": 0.9615023474178404,
1574
+ "grad_norm": 1.8089215543018735,
1575
+ "learning_rate": 3.1160404197018155e-08,
1576
+ "loss": 0.5852,
1577
+ "step": 224
1578
+ },
1579
+ {
1580
+ "epoch": 0.96579476861167,
1581
+ "grad_norm": 3.2819358158442062,
1582
+ "learning_rate": 2.386300009084408e-08,
1583
+ "loss": 0.535,
1584
+ "step": 225
1585
+ },
1586
+ {
1587
+ "epoch": 0.9700871898054997,
1588
+ "grad_norm": 1.7304415336384433,
1589
+ "learning_rate": 1.753570375247815e-08,
1590
+ "loss": 0.5152,
1591
+ "step": 226
1592
+ },
1593
+ {
1594
+ "epoch": 0.9743796109993293,
1595
+ "grad_norm": 2.7057456233183785,
1596
+ "learning_rate": 1.2179748700879013e-08,
1597
+ "loss": 0.5592,
1598
+ "step": 227
1599
+ },
1600
+ {
1601
+ "epoch": 0.9786720321931589,
1602
+ "grad_norm": 2.0005265863891872,
1603
+ "learning_rate": 7.796179090094891e-09,
1604
+ "loss": 0.548,
1605
+ "step": 228
1606
+ },
1607
+ {
1608
+ "epoch": 0.9829644533869886,
1609
+ "grad_norm": 3.129587457460373,
1610
+ "learning_rate": 4.385849505708084e-09,
1611
+ "loss": 0.5154,
1612
+ "step": 229
1613
+ },
1614
+ {
1615
+ "epoch": 0.9872568745808182,
1616
+ "grad_norm": 2.082407038336782,
1617
+ "learning_rate": 1.9494247982282386e-09,
1618
+ "loss": 0.5263,
1619
+ "step": 230
1620
+ },
1621
+ {
1622
+ "epoch": 0.9915492957746479,
1623
+ "grad_norm": 2.035928140228953,
1624
+ "learning_rate": 4.87379953478806e-10,
1625
+ "loss": 0.5001,
1626
+ "step": 231
1627
+ },
1628
+ {
1629
+ "epoch": 0.9958417169684776,
1630
+ "grad_norm": 1.9493320834510575,
1631
+ "learning_rate": 0.0,
1632
+ "loss": 0.5539,
1633
+ "step": 232
1634
+ },
1635
+ {
1636
+ "epoch": 0.9958417169684776,
1637
+ "step": 232,
1638
+ "total_flos": 57740051464192.0,
1639
+ "train_loss": 0.5700135146235598,
1640
+ "train_runtime": 22473.305,
1641
+ "train_samples_per_second": 1.327,
1642
+ "train_steps_per_second": 0.01
1643
+ }
1644
+ ],
1645
+ "logging_steps": 1.0,
1646
+ "max_steps": 232,
1647
+ "num_input_tokens_seen": 0,
1648
+ "num_train_epochs": 1,
1649
+ "save_steps": 5000.0,
1650
+ "stateful_callbacks": {
1651
+ "TrainerControl": {
1652
+ "args": {
1653
+ "should_epoch_stop": false,
1654
+ "should_evaluate": false,
1655
+ "should_log": false,
1656
+ "should_save": false,
1657
+ "should_training_stop": false
1658
+ },
1659
+ "attributes": {}
1660
+ }
1661
+ },
1662
+ "total_flos": 57740051464192.0,
1663
+ "train_batch_size": 1,
1664
+ "trial_name": null,
1665
+ "trial_params": null
1666
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fd4c665b74336a5a84293287f7378e45bd66d3b63bbf1187df43a504a5a8b9df
3
+ size 8504
vocab.json ADDED
The diff for this file is too large to render. See raw diff